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Development of a Lightweight Inertial Gravimeter for Use on Board an Autonomous Underwater Vehicle: Measurement Principle, System Design and Sea Trial Mission
- Source :
- Remote Sensing; Volume 14; Issue 11; Pages: 2513, Remote Sensing (2072-4292) (MDPI AG), 2022-06, Vol. 14, N. 11, P. 2513 (44p.), Remote Sensing, Remote Sensing, 2022, 14 (11), pp.2513. ⟨10.3390/rs14112513⟩
- Publication Year :
- 2022
- Publisher :
- MDPI AG, 2022.
-
Abstract
- International audience; The purpose of this paper is to present the design, development and testing of an innovative instrument called GraviMob, which allows performing dynamic measurements of underwater gravity anomalies. After recalling the interest in underwater gravimetry, we describe the system, the core of which consists of triads of accelerometers rigidly attached to an Autonomous Underwater Vehicle (AUV). The article also presents the mathematical methods for estimating the east, north and vertical components of the local gravity vector. An unscented Kalman filter, integrating AUV position and orientation data, performs estimation of gravity in a frame adapted to its interpretation. To assess its performance, GraviMob was tested in the Mediterranean Sea during the year 2016. A comparison of the surface gravimetric signal previously acquired by the French Navy indicates that the maximum discrepancy between the vertical gravity component and its reference is below 4 mGal. Components of the vertical deflection calculated from GraviMob’s measurements were compared with those calculated from recent gravity field models. While a remarkable agreement was found on the north component, there remains a discrepancy (7 arcsec) on the east component which can be largely reduced by refining the estimation of the orientation of GraviMob’s sensitive axes in the AUV.
- Subjects :
- mobile gravimetry
deep-sea exploration
autonomous underwater vehicle (AUV)
[SDU]Sciences of the Universe [physics]
[SDE]Environmental Sciences
General Earth and Planetary Sciences
[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]
vector strapdown gravity sensor
underwater gravity anomalies
Kalman filtering
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Subjects
Details
- ISSN :
- 20724292
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- Remote Sensing
- Accession number :
- edsair.doi.dedup.....1c5eed75a9a89e0ea6607434cc281b2f
- Full Text :
- https://doi.org/10.3390/rs14112513